Evidence map›Paper›PMID 41827074›Full record

ArticleArthritis research & therapy2026

Identification of candidate biomarkers for diagnosis, disease activity, and relapse prediction in IgG4-related disease.

Qiyuan Hao, Difei Lian, Mingzhu Zhou, Hang Zhou, Xia Zhang, Tianqi Wang, Huilan Liu, Lan Gao, Mingxin Bai, Yuetong Xu and 6 more

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Qiyuan HaoDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Difei LianDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Mingzhu ZhouDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Hang ZhouDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Xia ZhangDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Tianqi WangDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Huilan LiuDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Lan GaoDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Mingxin BaiDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Yuetong XuDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Fan YangDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Guang YangBeijing Friendship Hospital, Beijing Institute of Tropical Medicine, Capital Medical University, Beijing, China.
Zhitao YingDepartment of Hematology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China.
Yini WangDepartment of Hematology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xiaolin SunDepartment of Rheumatology and Immunology, Peking University Peoples's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis, Beijing, China.
Yanying LiuDepartment of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong'an Road, Xicheng District, Beijing, 100050, China. Liuyanying6850@126.com.

Funding

National Natural Science Foundation of China 82572048Natural Science Foundation of Beijing Municipality 7232029
6 · The paper itself

Abstract

objectivesIgG4-related disease (IgG4-RD) is an immune-mediated condition with diagnostic challenges in clinical practice. Sensitive biomarkers are needed for diagnosis, disease activity and disease progression assessment. This study aimed to identify and validate novel serum protein biomarkers of IgG4-RD to improve clinical management.

methodsUsing Olink proteomics, we analyzed the expression of 92 serum immuno-oncology-related proteins in 11 treatment-naïve IgG4-RD patients and 11 healthy controls (HCs). Candidate biomarkers capable of distinguishing IgG4-RD patients from HC were subsequently validated by enzyme-linked immunosorbent assay in a large independent cohort (n = 220). Diagnostic performance was assessed via 5-fold cross-validation. Correlations between biomarkers and clinical characteristics were also investigated, as well as predictive value for disease relapse.

resultsOlink proteomic analysis identified 27 differentially expressed proteins between IgG4-RD and HCs. Through longitudinal follow-up, serum PD1, OX40, CCL19, and MMP12 were significantly upregulated in IgG4-RD patients and closely associated with disease progression, serum IgG4 levels and inflammatory indicators. A comprehensive diagnostic model incorporating the four biomarkers was developed and showed high discriminatory capacity. Elevated baseline PD1 level served as an independent risk factor to predict clinical relapse of IgG4-RD patients.

conclusionThis study identifies four novel serum biomarkers that effectively assist diagnosis, assess disease activity, and one capable for clinical relapse prediction. These findings provide a practical approach for large-scale clinical screening and monitoring of IgG4-RD patients. Furthermore, the identified proteins may offer new insights into disease pathogenesis and represent potential therapeutic targets for this challenging condition.

Indexed as

BiomarkersImmunoglobulin G4-Related DiseaseAdultAgedDisease ProgressionEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin GMaleMiddle AgedProteomicsRecurrenceBiomarkersImmunoglobulin GBiomarkerIgG4-related diseaseProteomicsRelapse

Identifiers

PMID41827074
PMCPMC13112733

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.